While finding the shortest path between two points has been the intrinsic need of humans to accomplish maximum efficiency due to the asymmetrical nature of geographical infrastructure with extreme diversity, it is an intractable and massive task to optimize the routes manually. For industries associated with mobility, transport/shipping, supply chain, and logistics, the routing framework must be near perfect to preempt certain situations and proactively approach uncertainties.
Route optimizers/planners leveraged with advanced insights, machine learning, cognitive computing, and deep learning are ideal for effectively planning pathways. Route optimizers are extensively helpful for delivery services as well. They automatically schedule departures and arrivals at multiple stops to improve system efficacy.